Construction Project Delays: Application of Lean Construction for Process Optimization and On-Time Delivery Validated through Simulation

Autores/as

DOI:

https://doi.org/10.26439/ciii2025.8652

Palabras clave:

Delay analysis, Last Planner System, Lean construction, material supply disruptions, planning management, simulation modeling, Standard Work

Resumen

Construction projects in Peru often face delays that result in economic and contractual penalties. This study identifies the primary causes of project delays and proposes a process optimization model based on Lean Construction tools, applied to a road maintenance company. The methodology combines exploratory and experimental phases using operational data from 2022–2023. Pareto analysis and the 5 Whys technique identify material shortages (52%) and requisition rework (31%) as the most critical contributors to delays. To mitigate these issues, the Last Planner System, Standard Work, and Kaizen are implemented. Validation using discrete-event simulation in Arena demonstrates a 24.69% increase in project physical progress, a 39.27% reduction in accumulated delay days, and a 65.96% decrease in canceled requisitions. These results demonstrate that Lean tools can significantly improve planning reliability, reduce rework, and promote a continuous improvement culture in public works.

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Biografía del autor/a

  • Gustavo Almeida, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Gustavo Alessandro Almeida Rosillo holds a Bachelor’s degree in Industrial Engineering from Universidad de Lima. His areas of interest include data science, production systems engineering, and project
    management.

  • Stefano Monier, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Stefano Franco Monier Perez holds a Bachelor’s degree in Industrial Engineering from Universidad de Lima. He is currently a professional management intern at Claro Perú. His areas of interest include data science, production process management, and quality engineering.

  • Silvia Ponce, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Silvia Ponce Álvarez holds a PhD in Applied Physical Chemistry from Universidad Autónoma de Madrid and a Bachelor’s degree in Chemistry from Universidad Nacional Mayor de San Marcos. She completed her doctoral thesis at Instituto de Catálisis y Petroleoquímica (CSIC, Spain). She has carried out postdoctoral research at Institut für Angewandte Chemie (ACA-Berlin, Germany), Universidad de Buenos Aires (Argentina), Universidad Autónoma de Madrid (Spain), and Auburn University (United States), and was a fellow of AECI-ICI (Spain) and DAAD. She leads the research groups on Applied Nanomaterials and Circular Economy. She has participated as principal investigator and co-investigator in research projects funded by ProCiencia, PNIPA, Innovate Peru, TWAS, and UNESCO–L’Oréal, among others. She serves as an external evaluator of projects funded through competitive grants from FONDECYT, UNMSM, and PUCP, and as a reviewer for journals indexed in Scopus and Web of Science. She is the recipient of the For Women in Science 2013–Peru Award, Green Patent 2022, General Prize of the Indecopi Contest 2022, Peruvian Inventor Award 2022, and the Silver Medal at KIWIE 2023. Her research interests include nanomaterials derived from agro-industrial waste, heterogeneous and environmental catalysis, photocatalysis, and the removal of aqueous contaminants using non-conventional methods.

  • Edilberto Avalos-Ortecho, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Edilberto Miguel Avalos Ortecho holds a PhD in Business Management from Universidad Nacional Mayor de San Marcos, an MBA in Strategic Business Management from Centrum Católica, and a Master’s degree in Environmental Management and Administration from EOI Escuela de Organización Industrial, Spain. He is Coordinator of Research and Publications, Researcher, and Lecturer in the Industrial Engineering Program at Universidad de Lima. He is registered in Renacyt at Level VI under code P0041763 and represents Peru on the ISO/TC 279 Technical Committee on Innovation Management. He has co-authored the publications “Implementation of Lean Manufacturing to Increase Aircraft Availability” (Journal of Fluid Flow, Heat and Mass Transfer); “Crude Oil Production and Simulation from Catalytic Fast Pyrolysis of Waste Polyethylene Terephthalate (PET)” (Cleaner Engineering and Technology, 2025); “Implementation of Machine Learning and BPM to Increase Profitability in a Travel Agency” (World Congress on Mechanical, Chemical, and Material Engineering, 2025); “Application of Lean Manufacturing to Increase Productivity in the Food Sector” (LACCEI 2025); and “Application of Circular Economy to Manufacture Sneakers from Banana Pseudostem Yarn” (CONIITI 2024). His research interests include machine learning, innovation management, lean manufacturing, pyrolysis technology, circular economy, clean energy, sustainable environmental management, and business competitiveness

     

Referencias

[1] R. F. Aziz, “Ranking of delay factors in construction projects after Egyptian revolution,” Alexandria Eng. J., vol. 52, no. 3, pp. 387–406, Sep. 2013, doi: 10.1016/j.aej.2013.03.002.

[2] J. B. H. Yap, P. L. Goay, Y. B. Woon, and M. Skitmore, “Revisiting critical delay factors for construction: Analysing projects in Malaysia,” Alexandria Eng. J., vol. 60, no. 1, pp. 1717–1729, Feb. 2021, doi: 10.1016/j.aej.2020.11.021.

[3] S. A. M. Elsherbiny, S. A.-F. Gad, and A. M. A. Alim, “Critical delay factors in construction projects and their proposed solutions from the perspective of total quality management,” Int. J. Eng. Trends Technol., vol. 72, no. 2, pp. 1–8, Feb. 2024, doi: 10.14445/22315381/IJETT-V72I2P101.

[4] A. Porwal and K. N. Hewage, “Building Information Modeling (BIM) partnering framework for public construction projects,” Autom. Constr., vol. 31, pp. 204–214, May 2013, doi: 10.1016/j.autcon.2012.12.004.

[5] Buildots. “Percent Plan Complete (PPC).” Buildots Blog. [Online]. Available: https://buildots.com/blog/percent-plan-complete/

[6] F. R. Hamzeh and O. Z. Aridi, “Modeling the Last Planner System metrics: A case study of an AEC company,” in Proc. 21st Annu. Conf. Int. Group Lean Constr., Fortaleza, Brazil, Jan. 2013, pp. 599–608, doi: 10.13140/2.1.3852.5121.

[7] R. Fulford and C. Standing, “Construction industry productivity and the potential for collaborative practice,” Int. J. Project Manage., vol. 32, no. 2, pp. 315–326, Feb. 2014, doi: 10.1016/j.ijproman.2013.05.007.

[8] J. P. P. Vieira, B. M. B. da Silva Etges, R. A. Pellegrino, M. A. Lins, and L. L. Costa, “Kaizen as an improvement method for concrete walls construction in social housing project,” in Proc. 30th Annu. Conf. Int. Group Lean Constr. (IGLC), Edmonton, AB, Canada, 2022, pp. 354–365, doi: 10.24928/2022/0136.

[9] M. I. Ahmed and S. E. Rezouki, “Application of root causes analysis techniques in the contractor selection for highway projects,” in IOP Conf. Ser.: Mater. Sci. Eng., vol. 901, Sep. 2020, doi: 10.1088/1757-899X/901/1/012031.

[10] S. Shrivastava, M. Jain, and K. K. Pathak, “Pareto analysis of causes of delay and recommendations for training needs,” Int. J. Constr. Project Manage., vol. 13, no. 2, 2021. [Online]. Available: https://www.researchgate.net/publication/362208823

[11] T. Al Amri and M. Marey-Pérez, “Towards a sustainable construction industry: Delays and cost overrun causes in construction projects of Oman,” J. Project Manage., vol. 5, no. 2, pp. 87–102, Jan. 2020, doi: 10.5267/j.jpm.2020.1.001.

[12] E. N. Shaqour, “The impact of adopting Lean construction in Egypt: Level of knowledge, application, and benefits,” Ain Shams Eng. J., vol. 13, no. 2, Mar. 2022, doi: 10.1016/j.asej.2021.07.005.

[13] W. Albalkhy and R. Sweis, “Barriers to adopting Lean construction in the construction industry: A literature review,” Int. J. Lean Six Sigma, vol. 12, no. 2, pp. 210–236, May 2021, doi: 10.1108/IJLSS-12-2018-0144.

[14] D. Mishchenko, I. Shevchenko, D. Babinin, A. Vdovichen, and O. Verstiak, “Standardisation of data in logistics and business operations,” Multidiscip. Rev., vol. 7, p. 2024spe006, Jun. 2024, doi: 10.31893/multirev.2024spe006.

[15] O. Warid and K. Hamani, “Lean construction in the UAE: Implementation of Last Planner System®,” Lean Constr. J., vol. 2023, pp. 1–20, Dec. 2023, doi: 10.60164/96f4a5e0g.

[16] H. Erol, I. Dikmen, and M. T. Birgonul, “Measuring the impact of Lean construction practices on project duration and variability: A simulation-based study on residential buildings,” J. Civ. Eng. Manage., vol. 23, no. 2, pp. 241–251, Feb. 2017, doi: 10.3846/13923730.2015.1068846.

[17] G. Garcés, E. Forcael, C. Osorio, K. Castañeda, and O. Sánchez, “Systematic review of Lean construction: An approach to sustainability and efficiency in construction management,” J. Infrastruct. Preserv. Resil., vol. 6, no. 1, Jan. 2025, doi: 10.1186/s43065-025-00119-1.

[18] S. Moradi and P. Sormunen, “Implementing Lean construction: A literature study of barriers, enablers, and implications,” Build., vol. 13, no. 2, p. 556, Feb. 2023, doi: 10.3390/buildings13020556.

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Publicado

2026-06-08

Número

Núm. 004 (2025): IV Congreso Internacional de Ingeniería Industrial

Sección

Ponencias

Licencia

Derechos de autor 2026 Congreso Internacional de Ingeniería Industrial de la Universidad de Lima

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.